NVIDIA and Partners Showcase the Future of AI-Driven Manufacturing at Hannover Messe 2026

<div id="bsf_rt_marker"></div><p><span style="font-weight: 400">Manufacturing is at an inflection point. Across every major industrial economy, the pressure to do more with less — due to faster design cycles, leaner operations and strain on skilled labor pools — is accelerating the shift to AI-driven production. </span></p> <p><span style="font-weight: 400">The question is no longer whether to adopt AI, but how fast and at what scale. </span></p> <p><span style="font-weight: 400">At </span><a target="_blank" href="https://www.nvidia.com/en-us/events/hannover-messe/"><span style="font-weight: 400">Hannover Messe 2026</span></a><span style="font-weight: 400">, running April 20-24 in Hannover, Germany, NVIDIA and its partners are demonstrating AI-driven manufacturing in action. Attendees will experience how advancements in accelerated computing, AI physics, agents and robotics are powering industrial innovation — from agentic design and engineering to real-time simulation, vision AI agents and humanoid robots operating in factories. </span></p> <p><span style="font-weight: 400">The factory of the future isn’t just a concept. It’s being built now.</span></p> <h2><b>AI Infrastructure: Powering Europe’s Next Industrial Era</b></h2> <p><span style="font-weight: 400">Running AI at scale across the factories and supply chains that manufacturing output relies on requires the right underlying infrastructure. As AI becomes foundational to how products, processes and facilities are designed, built and optimized, manufacturers need a unified, sovereign foundation that’s secure, scalable and built for industrial scale.</span></p> <p><span style="font-weight: 400">The </span><a href="https://blogs.nvidia.com/blog/germany-industrial-ai-cloud-launch/"><span style="font-weight: 400">Industrial AI Cloud</span></a><span style="font-weight: 400">, one of Europe’s largest AI factories built in Germany by </span><span style="font-weight: 400">Deutsche Telekom</span><span style="font-weight: 400"> on NVIDIA AI infrastructure, is a blueprint for the future. It provides a secure, sovereign foundation for accelerating AI and robotics across Europe’s industries. </span></p> <p><span style="font-weight: 400">At the show, industry leaders, including </span><span style="font-weight: 400">Agile Robots</span><span style="font-weight: 400">, </span><span style="font-weight: 400">SAP</span><span style="font-weight: 400">, </span><span style="font-weight: 400">Siemens</span><span style="font-weight: 400">, </span><span style="font-weight: 400">PhysicsX</span><span style="font-weight: 400"> and </span><span style="font-weight: 400">Wandelbots</span><span style="font-weight: 400">, will share how they are using this sovereign AI platform to run AI-accelerated workloads ranging from AI physics-driven, real-time simulation to factory-scale digital twins and software-defined robotics. </span><span style="font-weight: 400">EDAG</span><span style="font-weight: 400">, a leading independent engineering service provider, also announced it will be running its industrial metaverse platform, metys, on the Industrial AI Cloud — bringing sovereign AI infrastructure to automotive and industrial engineering at scale.</span></p> <p><span style="font-weight: 400">To support the increasing demand for AI infrastructure, </span><span style="font-weight: 400">Dell Technologies</span><span style="font-weight: 400">, </span><span style="font-weight: 400">IBM</span><span style="font-weight: 400">, </span><span style="font-weight: 400">Lenovo</span><span style="font-weight: 400"> and </span><span style="font-weight: 400">PNY</span><span style="font-weight: 400"> are also showcasing NVIDIA-accelerated systems, from the edge to data centers, enabling manufacturers to run faster simulations and develop and deploy computer vision, AI agents and robotics in production at scale.</span></p> <h2><b>AI-Driven Engineering</b></h2> <p><span style="font-weight: 400">As industrial systems grow more complex, the software that engineers rely on to design, simulate and test them is being transformed with AI physics and agentic AI to keep pace. At Hannover Messe, NVIDIA partners are showcasing how AI-accelerated design and simulation is unlocking new possibilities.</span></p> <p><a target="_blank" href="https://www.cadence.com/en_US/home/company/newsroom/press-releases/pr/2026/cadence-and-nvidia-expand-partnership-to-reinvent-engineering.html"><span style="font-weight: 400">Cadence</span></a><span style="font-weight: 400">, </span><a target="_blank" href="https://blog.3ds.com/topics/company-news/industrial-ai-with-virtual-twins"><span style="font-weight: 400">Dassault Systèmes</span></a><span style="font-weight: 400">, </span><a target="_blank" href="https://news.siemens.com/en-us/siemens-fuse-eda-ai-agent/"><span style="font-weight: 400">Siemens</span></a><span style="font-weight: 400"> and </span><a target="_blank" href="https://news.synopsys.com/2026-03-16-Synopsys-Showcases-NVIDIA-Partnership-Impact-and-Ecosystem-Innovation-at-GTC-2026"><span style="font-weight: 400">Synopsys</span></a><span style="font-weight: 400"> are integrating </span><a target="_blank" href="https://www.nvidia.com/en-us/technologies/cuda-x/"><span style="font-weight: 400">NVIDIA CUDA-X</span></a><span style="font-weight: 400">, AI physics and </span><a target="_blank" href="https://www.nvidia.com/en-us/omniverse/"><span style="font-weight: 400">NVIDIA Omniverse</span></a><span style="font-weight: 400"> libraries, as well as </span><a target="_blank" href="https://www.nvidia.com/en-us/ai-data-science/foundation-models/nemotron/"><span style="font-weight: 400">NVIDIA Nemotron</span></a><span style="font-weight: 400"> open models, across their software — enabling real-time, physics-grounded simulation, AI-powered design exploration and agentic workflows that empower engineers.</span></p> <h2><b>Real-Time Factory Simulation</b></h2> <p><span style="font-weight: 400">Factory-scale digital twins are critical for unlocking process simulation, real-time operations, and the testing and orchestration of robot fleets. At Hannover Messe, partners across manufacturing, energy and automotive are showing how digital twins, built on Omniverse libraries and </span><a target="_blank" href="https://www.nvidia.com/en-us/glossary/openusd/"><span style="font-weight: 400">OpenUSD</span></a><span style="font-weight: 400">, enable their customers to design, stress-test and continuously optimize their operations.</span></p> <p><a target="_blank" href="https://new.abb.com/news/detail/135121/abb-genix-advances-industrial-digital-twins-through-immersive-3d-visualization-with-nvidia-omniverse-and-microsoft-azure"><span style="font-weight: 400">ABB</span></a><span style="font-weight: 400"> will showcase how the integration of NVIDIA Omniverse libraries and </span><span style="font-weight: 400">Microsoft Azure cloud</span><span style="font-weight: 400"> services into its ABB Genix Industrial IoT and AI Suite enables operations teams to understand asset performance in full context and engage AI agents to accelerate root-cause analysis.</span></p> <p><span style="font-weight: 400">Dassault Systèmes</span> <span style="font-weight: 400">will demonstrate how AI-driven factories of the future are powered by virtual twin experiences. Attendees will see how these virtual twins harness NVIDIA physical AI libraries to enable autonomous, software-defined production and smarter, agile manufacturing systems.</span></p> <p><a target="_blank" href="https://kongsbergdigital.com/news/kongsberg-digital-advances-with-nvidia"><span style="font-weight: 400">Kongsberg Digital</span></a><span style="font-weight: 400"> will highlight how integrating NVIDIA Omniverse libraries into its Kognitwin platform delivers spatial intelligence across critical energy infrastructure. The combination of digital twin models, live operational data and AI agents enables its customers to analyze complex assets, test scenarios virtually and optimize performance before changes reach the physical world.</span></p> <p><a target="_blank" href="https://www.microsoft.com/en-us/microsoft-cloud/blog/manufacturing/2026/04/16/industrial-intelligence-unlocked-microsoft-at-hannover-messe-2026/"><span style="font-weight: 400">Microsoft</span></a><span style="font-weight: 400"> is demonstrating how NVIDIA Omniverse libraries integrated with </span><span style="font-weight: 400">Microsoft</span><span style="font-weight: 400"> Fabric Real-Time Intelligence and IQ enable physically accurate, real-time simulations for organizations to design, simulate and optimize physical systems, while the </span><a target="_blank" href="https://github.com/microsoft/physical-ai-toolchain"><span style="font-weight: 400">Azure Physical AI Toolchain</span></a><span style="font-weight: 400"> — built on the </span><a target="_blank" href="https://nvidianews.nvidia.com/news/nvidia-announces-open-physical-ai-data-factory-blueprint-to-accelerate-robotics-vision-ai-agents-and-autonomous-vehicle-development"><span style="font-weight: 400">NVIDIA Physical AI Data Factory Blueprint</span></a><span style="font-weight: 400"> — accelerates the deployment of physical AI and autonomous robots into production.</span></p> <p><a target="_blank" href="https://news.siemens.com/en-us/digital-twin-composer-ces-2026/"><span style="font-weight: 400">Siemens</span></a><span style="font-weight: 400"> will highlight how integrating NVIDIA Omniverse libraries into its Digital Twin Composer solution turns multi-domain engineering and operational data into a comprehensive, simulation-ready digital twin — helping its customers deliver throughput gains and identify production issues before physical changes.</span></p> <p><span style="font-weight: 400">By combining the Wandelbots NOVA Platform with Omniverse libraries such as </span><a target="_blank" href="https://docs.nvidia.com/nurec/"><span style="font-weight: 400">NVIDIA Omniverse NuRec</span></a><span style="font-weight: 400">, </span><a target="_blank" href="https://www.wandelbots.com/news/platform-based-automation-solution-for-industrial-robotics-by-gessmann"><span style="font-weight: 400">Wandelbots</span></a><span style="font-weight: 400"> highlights a powerful pathway to digitalize real-world facilities into physically accurate simulations. For solutions like </span><span style="font-weight: 400">Gessmann’s GESSbot </span><span style="font-weight: 400">robots, this opens up future opportunities to accelerate commissioning and reduce deployment risks across complex industrial sites.</span></p> <h2><b>Bringing AI Agents to the Factory Floor</b></h2> <p><span style="font-weight: 400">Traditional AI answers problems under a rigid set of conditions. AI agents bring a new level of proactive and adaptive intelligence that provides the context on what’s seen and analyzes what’s happening before taking action. </span></p> <p><span style="font-weight: 400">At the show, attendees will see how vision AI agents built on </span><a target="_blank" href="https://www.nvidia.com/en-us/autonomous-machines/intelligent-video-analytics-platform/"><span style="font-weight: 400">NVIDIA Metropolis</span></a><span style="font-weight: 400"> libraries along with Nemotron and NVIDIA Cosmos open models are transforming industrial operations, combining multiple data streams with existing camera infrastructure to reach new levels of quality control, operational efficiency and worker safety.</span></p> <p><a target="_blank" href="https://www.invisible.ai/blog/invisible-ai-launches-vision-execution-system-with-nvidia/"><span style="font-weight: 400">Invisible AI</span></a><span style="font-weight: 400"> is launching its Vision Execution System, a vision AI system that uses agents to capture, structure and analyze every production cycle on the factory floor in real time. Built with the</span><a target="_blank" href="https://build.nvidia.com/nvidia/video-search-and-summarization"> <span style="font-weight: 400">NVIDIA Metropolis VSS Blueprint</span></a><span style="font-weight: 400"> and </span><a target="_blank" href="https://huggingface.co/nvidia/Cosmos-Reason2-8B"><span style="font-weight: 400">NVIDIA Cosmos Reason 2</span></a><span style="font-weight: 400"> and </span><a target="_blank" href="https://www.nvidia.com/en-us/ai-data-science/foundation-models/nemotron/"><span style="font-weight: 400">Nemotron</span></a><span style="font-weight: 400"> models, these autonomous AI agents surface actionable insights directly to operators before issues compound. This class of production intelligence is already driving measurable gains at some of the world’s largest automotive manufacturing factories like </span><span style="font-weight: 400">Toyota</span><span style="font-weight: 400">.</span></p> <p><iframe loading="lazy" title="How AI is Transforming Manufacturing End-to-End" width="1200" height="675" src="https://www.youtube.com/embed/D8wSXABcW-A?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe></p> <p><a target="_blank" href="https://tulip.co/blog/terex-factory-playback-gtc"><span style="font-weight: 400">Tulip Interfaces</span></a><span style="font-weight: 400"> will showcase Factory Playback, which uses the VSS blueprint and Cosmos Reason 2 to synchronize machine telemetry, operator workflows, quality events and video into a searchable, contextualized timeline of operations. </span><span style="font-weight: 400">Terex</span><span style="font-weight: 400">, a global industrial equipment manufacturer with over 40 plants, uses the platform to gain valuable insights and is expected to achieve an estimated 3% increase in yield and 10% reduction in rework.</span></p> <p><span style="font-weight: 400">Fogsphere</span><span style="font-weight: 400"> extends vision AI into some of the most demanding manufacturing and industrial environments. Its </span><span style="font-weight: 400">Vision Agent</span><span style="font-weight: 400"> platform — now supporting ARM-based edge deployment and training workflows built on NVIDIA Cosmos Reason 2 and the Metropolis VSS Blueprint — enables its customers to build and finetune visual AI agents. </span><span style="font-weight: 400">Saipem</span><span style="font-weight: 400">, an </span><span style="font-weight: 400">engineering services company in the energy and industrial ecosystem, is using the platform to build agents that can </span><span style="font-weight: 400">detect and respond in real time to high-risk safety and environmental events. </span></p> <h2><b>Machines That Can Think</b></h2> <p><span style="font-weight: 400">AI reasoning is breaking industrial robots free from single-task constraints and time-consuming reprogramming, giving them the ability to navigate unstructured environments, learn new tasks and act autonomously. At Hannover Messe, NVIDIA partners are demonstrating robots completing real production tasks and physical AI frameworks that put autonomous automation within reach of manufacturers of every size.</span></p> <p><span style="font-weight: 400">At a </span><a target="_blank" href="https://sie.ag/4LyPvV"><span style="font-weight: 400">Siemens</span></a><span style="font-weight: 400"> blueprint autonomous electronics factory in Erlangen, Germany, </span><a target="_blank" href="https://thehumanoid.ai/siemens-and-humanoid-bring-physical-ai-to-the-factory-floor-deploying-humanoids-in-industrial-operations-with-nvidia/"><span style="font-weight: 400">Humanoid’s HMND 01</span></a><span style="font-weight: 400"> wheeled humanoid — running the </span><a target="_blank" href="https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-thor/"><span style="font-weight: 400">NVIDIA Jetson Thor</span></a><span style="font-weight: 400"> edge AI module for on-robot compute and developed using </span><a target="_blank" href="https://developer.nvidia.com/isaac/sim"><span style="font-weight: 400">Isaac Sim</span></a><span style="font-weight: 400"> and </span><a target="_blank" href="https://developer.nvidia.com/isaac/lab"><span style="font-weight: 400">Isaac Lab</span></a><span style="font-weight: 400"> open frameworks for simulation and reinforcement learning — has completed autonomous logistics operations in a first proof of concept within the production environment. </span><span style="font-weight: 400">Humanoid’s</span><span style="font-weight: 400"> simulation-first development compressed what typically takes up to two years of hardware development down to just seven months.</span></p> <p><a target="_blank" href="https://schunk.com/de/en/news/physical-ai-von-der-simulation-zum-shopfloor/38528"><span style="font-weight: 400">SCHUNK’s GROW</span></a><span style="font-weight: 400"> automation cell brings physical AI into production in a standardized, deployable form. NVIDIA Omniverse libraries and Isaac simulation frameworks enable robot behavior to be simulated, trained and validated before the cell goes live. </span><span style="font-weight: 400">Wandelbots’ NOVA platform</span><span style="font-weight: 400"><a target="_blank" href="https://www.wandelbots.com/news/wandelbots-schunk-and-ey-join-forces-to-scale-physical-ai"> connects simulation to the shop floor</a> for continuous refinement, while </span><span style="font-weight: 400">EY</span><span style="font-weight: 400"> designs the operating model to scale it across Europe’s small- and medium-sized enterprises.</span></p> <p><span style="font-weight: 400">Using NVIDIA’s physical AI stack, including the </span><a target="_blank" href="http://nvidianews.nvidia.com/news/nvidia-announces-open-physical-ai-data-factory-blueprint-to-accelerate-robotics-vision-ai-agents-and-autonomous-vehicle-development"><span style="font-weight: 400">Physical AI Data Factory Blueprint</span></a><span style="font-weight: 400"> and </span><a target="_blank" href="https://www.nvidia.com/en-us/edge-computing/products/igx/"><span style="font-weight: 400">NVIDIA IGX Thor</span></a><span style="font-weight: 400"> for industrial-grade edge compute with functional safety, </span><span style="font-weight: 400">Hexagon Robotics</span><span style="font-weight: 400"> is accelerating robot training, validation and deployment. The results are already taking shape, with </span><span style="font-weight: 400">AEON</span><span style="font-weight: 400"> set to perform assembly operations at a </span><span style="font-weight: 400">BMW Plant</span><span style="font-weight: 400"> in Leipzig — marking one of the first humanoid deployments in a German production environment.</span></p> <p><span style="font-weight: 400">QNX</span><span style="font-weight: 400"> has expanded its collaboration with NVIDIA to power safety‑critical edge AI systems for robotics, medical and industrial applications, with QNX OS for Safety 8.0 now integrated on NVIDIA IGX Thor and the NVIDIA Halos safety stack</span><span style="font-weight: 400">.</span></p> <p><i><span style="font-weight: 400">Explore </span></i><a target="_blank" href="https://www.nvidia.com/en-us/industries/industrial-sector/"><i><span style="font-weight: 400">NVIDIA AI technologies for industrial and manufacturing</span></i></a><i><span style="font-weight: 400"> by joining </span></i><a target="_blank" href="https://www.nvidia.com/en-us/events/hannover-messe/"><i><span style="font-weight: 400">NVIDIA at Hannover Messe</span></i></a><i><span style="font-weight: 400">.</span></i></p>